A webinar on the Anzler Specific Enabler (SE) from the FITMAN project. This SE has been developed to support users through the provision of an infrastructure which will allow the semi-automatic matching of different ontologies (OWL) and also of different XML schemas (XSD). Presented by Fenareti Lampathaki from the National Technical University of Athens (NTUA).

1. FITMAN Webinars 116/06/2015
Unstructured & Social Data
Analytics Specific Enabler
FITMAN Anlzer
FITMAN Webinars
June 16th, 2015
Dr. Fenareti Lampathaki
National Technical University of Athens (NTUA)

2. Why to get it
• A new age of engagement and collaboration has emerged with
the proliferation of user-generated content
• The quantity of information in the world is soaring, with
businesses, governments and society only starting to tap its
potential
• Harnessing collective intelligence represents a challenge for
any manufacturing industry.
2
• To understand what is discussed online about any topic of interest, instantly
catching the market realm
• To early identify sentiments about products and brands, thus preventing
potential damage to the corporate reputation
• To detect on time user trends in order to be incorporated in product design
Understandthecontext
FITMAN Webinars16/06/2015

3. What you get
The FITMAN “Unstructured and Social Data Analytics” Specific Enabler (FITMAN-
Anlzr) extracts unstructured data from selected web resources and social data
from selected social networks and turns such user-generated content to
knowledge to be used for the benefit of manufacturers.
3
A web infrastructure for Digital Factories to ….
Collect Store Process Visualize Interact with
Unstructured & Social Data
FITMAN Webinars16/06/2015

4. Overview
Keyword- & Account-based
Information Acquisition
Information Filtering
Sentiment Analysis
Trend Analysis
Visualization of User Generated Content
(UGC)
Removal of “noise” from
retrieved social data
Automatic classification of opinions with sentiments
Investigation of “hidden” emerging keywords
Calculation of terms frequency
Track accounts and keywords
Create and store reports,
customized on specific
topics of interest
Continuously monitor a domain of interest
Real-time validation of sentiment tags
Retrieval of RSS feeds from UDA GE
Navigate to “live” results
Preparatory training of sentiment algorithms
2FITMAN Webinars16/06/2015

5. …………
Architecture & Interactions
Trend & Sentiment Analysis Engine
Processing /Querying Engine
Visualization & Report Creator Engine
Data Connectors
Storage System
Scalable… Transferable… Extensible… Open-source…
FI-WARE
Unstructured
DataAnalysis
GE
Charts
3FITMAN Webinars16/06/2015

6. Open Source: MIT License
Permitting any kind of reuse of software
provided all copies of the new software
include a copy of the original
MIT License terms.
Terms & Conditions
Source Code
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 Within the scope of the FI-PPP Programme
• Free use of the software for members till the end of the
Programme
• FITMAN provides free support to members till the end of the
Programme
 Out of FI-PPP Programme scope
• All software assets are free and Open Source (MIT license
applies globally)
FITMAN Webinars16/06/2015

7. Provisioning
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• As a Virtual Machine image (ovf)
– ftp://repo.nimbus-ware.com/fitman-anlzer.zip (Ubuntu installation).
Deploy on any Linux, Windows, MacOS system through
VMware/VirtualBox to test. Migrate later to a physical system.
• As source code
– SourceForge: http://sourceforge.net/p/fitman-
fi/code/ci/master/tree/SE/NTUA/Anlzer/
FITMAN Webinars16/06/2015

8. Purpose of the Demonstration
As the marketing manager of a furniture manufacturer, I want to track what is
discussed online about all competing brands in order to decide how to best
design the marketing campaign of the Summer / Autumn 2014 sofas
collection…
I. To conduct a competitors’ analysis
As the product manager of a furniture manufacturer, I seek for inspiration in
order to decide which is the most appropriate style for the Winter 2015 sofas
collection …
II. To detect sentiments and trending characteristics of products based on
their online buzz
III. To unveil emerging, “hidden” user trends to be early incorporated in
product design
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9. Scenario: Project Settings
#imm14,#mikado,#platecma,#habitat,#aidima,#livingroom,#ikea,#natuzzi
,#concretefurniture,#spainfurniture,#MDW14,#coolfurniture,
#furnituretrends, #furniture,
#ArtDesign,#furnitures,#interiordesign,#HomeDesignIdeas,#homedecor,
@thecoolhunter,@HermanMiller,@kartellpeople,@ArtekPress,@E1E4fur
niture,@th_furniture, @thecoolhunter, @HermanMiller, @kartellpeople,
@artek_global, @E1E4furniture, @th_furniture, @koointernationa,
@diarioDESIGN_en, @AndreuWorld, @homedesigning, @PicoFurniture,
@MueblesCanella, @infurma, @BoConcept, …
IKEAUK, Natuzzi.USA,
furniturefashion,
Thecoolhunterofficial,
dezeen, Kartell, knollinc,
ompchairs,
vintageandchicblog,
Koo.International
http://www.remodelista.com/list/
furniture/rss,
http://feeds.feedburner.com/Fres
hInspirationForYourHome/,
http://www.madeindesign.co.uk/r
ss/catalog/special/store_id/2/cid/
0/,
http://feeds.feedburner.com/Tren
dHuntercom
9FITMAN Webinars16/06/2015

10. Scenario: The User Perspective
I want to monitor trends for furniture, so I
access the FITMAN Unstructured & Social
Data Analytics SE
I provide the
necessary training
material
Publish UGC
Automatically
Collect data
I view collected data near real-time
I navigate to the analysis & refine results
1
3
5
6
Connectors
I select search terms to
generate data reports
4
Users
I create a new project
for the domain I am
interested in
2
10FITMAN Webinars16/06/2015

11. Q&A
• Questions?
More information about FITMAN Anlzer can be found in the
FITMAN Catalogue
(http://catalogue.fitman.atosresearch.eu/enablers/unstructured-
and-social-data-analytics)
Contact us at: flamp@epu.ntua.gr
11FITMAN Webinars16/06/2015

12. Thanks for your attention!
Dr. Fenareti Lampathaki (NTUA)
Join Us!
fenareti.lampathaki @fenaretiflamp@epu.ntua.gr
12FITMAN Webinars16/06/2015